Course Descriptions

Core Courses

History and development of Industrial and Systems Engineering. Job areas for Industrial and Systems Engineers. Basic Industrial and Systems Engineering concepts. Steps of the system design process. Introduction to mathematical modelling and an overview of Operations Research models. Introduction to various Industrial and Systems Engineering subjects will be performed by guest speakers and department members whenever possible. Basics of MS […]

This course introduces the systems engineering design and integration process, including the development of functional, physical, and operational architectures. The emphasis of this course is on requirements engineering, functional modeling for design, formulation and analysis of physical design alternatives, verification and validation. The course is designed to provide students with experience using mathematical and graphical tools for systems analysis and […]

This course is designed to help students utilize their knowledge on system engineering methodologies to engineer design and develop complex systems and products. Topics include integration of user needs, defining technological opportunities, financial and schedule constraints to build complex systems, and basic tools and techniques to manage complex engineering projects.

The purpose of this course is to provide an in depth coverage and applications of Decision Making to complex real-world problems. The course covers: 1. Modeling of the Decision Problems : This module is composed of introductory concepts such as ; Elements of Decision problems, Structuring Decisions and Sensitivity Analysis 2. Modeling Uncertainty : Uncertainty module covers Probability review, Probability […]

Introduction to the fundamental computational methods used in Industrial and Systems Engineering, with particular emphasis on optimization, numerical analysis, network flows, location and inventory control. Course content is supported by hands on experience with C programming language and MATLAB.

The aim of this course is to provide students an understanding of the principles and techniques used in the improvement and measurement of productivity, as well as concepts of work study and their application to the human-machine system design and interaction. The objective is to equip students with the ability to use and apply the techniques of method study, work […]

This course will provide a broad coverage of ergonomics (human factors) and show how the application of ergonomics (human factors) principles can improve the design of systems involving the interaction of humans with technology. The course includes a broad based introduction to ergonomic principles and their application in the design of work, equipment and the workplace. Consideration is given to […]

Fundamental concepts in the planning and design of logistics systems. Logistics network design, warehouse design and operation, planning and managing long and short haul transportation. Emphasis on operations research models that address the operational, tactical and strategic decisions in logistics and solution methodologies employed in their solution.

Mathematical models employed in the solution of Operations research problems including lineer, nonlinear, integer and Marcov chain models; application of these models to areas such as production, financial planning and distribution; complexity of the resulting mathematical models and techniques used in their solution.

This course is an introduction to the fundamental methods used in Computer Integrated Manufacturing. Topics covered will include computer aided design, geometric tolerance, process engineering, tooling and fixtures, data communication in manufacturing and robotics. CNC lathe and milling machine programming, robot programming, PLC programming will also be covered. Also, a project on a recent CIM topic will be performed by […]